Zudi Lin

According to our database, Zudi Lin authored at least 14 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction.

Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool

CoRR, 2022

Instance Segmentation of Unlabeled Modalities via Cyclic Segmentation GAN.

Leander Lauenburg, Zudi Lin, Ruihan Zhang, Márcia dos Santos, Siyu Huang, Ignacio Arganda-Carreras, Edward S. Boyden, Hanspeter Pfister, Donglai Wei

CoRR, 2022

Revisiting RCAN: Improved Training for Image Super-Resolution.

Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister

CoRR, 2022

2021

PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics.

Zudi Lin, Donglai Wei, Jeff Lichtman, Hanspeter Pfister

CoRR, 2021

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation.

Anirudh Srinivasan Chakravarthy, Won-Dong Jang, Zudi Lin, Donglai Wei, Song Bai, Hanspeter Pfister

CoRR, 2021

Asymmetric 3D Context Fusion for Universal Lesion Detection.

Jiancheng Yang, Yi He, Kaiming Kuang, Zudi Lin, Hanspeter Pfister, Bingbing Ni

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions.

Donglai Wei, Kisuk Lee, Hanyu Li, Ran Lu, J. Alexander Bae, Zequan Liu, Lifu Zhang, Márcia dos Santos, Zudi Lin, Thomas D. Uram, Xueying Wang, Ignacio Arganda-Carreras, Brian Matejek, Narayanan Kasthuri, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale.

Zudi Lin, Donglai Wei, Mariela D. Petkova, Yuelong Wu, Zergham Ahmed, Krishna Swaroop K, Silin Zou, Nils Wendt, Jonathan Boulanger-Weill, Xueying Wang, Nagaraju Dhanyasi, Ignacio Arganda-Carreras, Florian Engert, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution.

Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

MitoEM Dataset: Large-Scale 3D Mitochondria Instance Segmentation from EM Images.

Donglai Wei, Zudi Lin, Daniel Franco-Barranco, Nils Wendt, Xingyu Liu, Wenjie Yin, Xin Huang, Aarush Gupta, Won-Dong Jang, Xueying Wang, Ignacio Arganda-Carreras, Jeff W. Lichtman, Hanspeter Pfister

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Two Stream Active Query Suggestion for Active Learning in Connectomics.

Zudi Lin, Donglai Wei, Won-Dong Jang, Siyan Zhou, Xupeng Chen, Xueying Wang, Richard Schalek, Daniel R. Berger, Brian Matejek, Lee Kamentsky, Adi Suissa-Peleg, Daniel Haehn, Thouis R. Jones, Toufiq Parag, Jeff Lichtman, Hanspeter Pfister

Proceedings of the Computer Vision - ECCV 2020, 2020

A Topological Nomenclature for 3D Shape Analysis in Connectomics.

Abhimanyu Talwar, Zudi Lin, Donglai Wei, Yuesong Wu, Bowen Zheng, Jinglin Zhao, Won-Dong Jang, Xueying Wang, Jeff Lichtman, Hanspeter Pfister

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

White-Box Adversarial Defense via Self-Supervised Data Estimation.

Zudi Lin, Hanspeter Pfister, Ziming Zhang

CoRR, 2019

FDive: Learning Relevance Models Using Pattern-based Similarity Measures.

Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019